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PAMI
2006
178views more  PAMI 2006»
14 years 9 months ago
Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. I...
Jakob J. Verbeek
3DPVT
2004
IEEE
181views Visualization» more  3DPVT 2004»
15 years 1 months ago
Segmenting Correlation Stereo Range Images using Surface Elements
This paper describes methods for segmenting planar surfaces from noisy 3D data obtained from correlation stereo vision. We make use of local planar surface elements called patchle...
Don Murray, James J. Little
CVPR
2007
IEEE
15 years 11 months ago
Simultaneous Covariance Driven Correspondence (CDC) and Transformation Estimation in the Expectation Maximization Framework
This paper proposes a new registration algorithm, Covariance Driven Correspondences (CDC), that depends fundamentally on the estimation of uncertainty in point correspondences. Th...
Michal Sofka, Gehua Yang, Charles V. Stewart
IVC
1998
65views more  IVC 1998»
14 years 9 months ago
Segmentation of MR images with intensity inhomogeneities
A statistical model to segment clinical magnetic resonance (MR) images in the presence of noise and intensity inhomogeneities is proposed. Inhomogeneities are considered to be mul...
Jagath C. Rajapakse, Frithjof Kruggel
CVPR
2008
IEEE
14 years 9 months ago
A similarity measure between unordered vector sets with application to image categorization
We present a novel approach to compute the similarity between two unordered variable-sized vector sets. To solve this problem, several authors have proposed to model each vector s...
Yan Liu, Florent Perronnin